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Thomas W. Chittenden

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2021
[j3]
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  - journals/patterns/LiGBGCGLC21
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  - https://dblp.org/rec/journals/patterns/LiGBGCGLC21
Richard Y. Li, Sharvari Gujja, Sweta R. Bajaj, Omar E. Gamel, Nicholas Cilfone, Jeffrey R. Gulcher, Daniel A. Lidar, Thomas W. Chittenden:
Quantum processor-inspired machine learning in the biomedical sciences. Patterns 2(6): 100246 (2021)
2019
[j2]
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  - journals/jcisd/BaylonCGC19
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Javier L. Baylon, Nicholas A. Cilfone, Jeffrey R. Gulcher, Thomas W. Chittenden:
Enhancing Retrosynthetic Reaction Prediction with Deep Learning Using Multiscale Reaction Classification. J. Chem. Inf. Model. 59(2): 673-688 (2019)
2012
[j1]
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  - journals/bioinformatics/ChittendenHTMAGSBNQH12
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Thomas W. Chittenden, Eleanor Howe, Jennifer M. Taylor, Jessica Cara Mar, Martin J. Aryee, Harold Gómez, Razvan Sultana, John C. Braisted, Sarita J. Nair, John Quackenbush, Chris Holmes:
nEASE: a method for gene ontology subclassification of high-throughput gene expression data. Bioinform. 28(5): 726-728 (2012)

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